scholarly journals Corrigendum: Relationship between Human Immunodeficiency Virus (HIV) Knowledge, HIV-Related Stigma, and HIV Testing among Young Black Adults in a Southeastern City

2017 ◽  
Vol 5 ◽  
Author(s):  
Eunice Okumu
2021 ◽  
Author(s):  
Chrysovalantis Stafylis ◽  
Gabriella Vavala ◽  
Qiao Qang ◽  
Bethany McLeman ◽  
Shea M Lemley ◽  
...  

BACKGROUND Social media sites, dating applications (apps), and informational search sites have been used to reach individuals put at-risk for Human Immunodeficiency Virus (HIV) infection. However, it is not clear which type of site is the most efficient in promoting home HIV self-testing, given that the users of various platforms may have different characteristics that impact their readiness for HIV testing. OBJECTIVE Compare the relative effectiveness of three web-based platform types: social media sites, dating apps, and informational search sites in promoting HIV self-testing among minority men who have sex with men (MSM) put at increased risk of HIV infection. In addition, we assessed differences in characteristics between participants who engaged and did not engage in HIV testing. METHODS Culturally appropriate advertisements were placed on popular sites of three different platforms: social media (Facebook, Instagram, and Twitter), dating apps (Grindr, Jack’d, and Hornet), and informational search sites (Google, Yahoo, and Bing). Advertisements targeted young (18-30 years old) and minority (Black and/or Latinx) MSM at risk of HIV exposure. Recruitment occurred in 3 waves, with each wave running advertisements on 1 site on each platform type over the same period. Participants completed a baseline survey assessing sexual or injection use behavior, substance use including alcohol, psychological readiness to test, attitudes toward HIV testing and treatment, and HIV-related stigma. Participants received an electronic code to order a free home-based HIV self-test kit. Follow-up assessments were conducted to assess HIV self-test kit use and uptake of Pre-Exposure Prophylaxis (PrEP) at 14- and 60-days post enrollment. RESULTS In all, 271 participants were enrolled. Two-hundred and fifty-four participants were included in the final analysis. Among those 254, 177 (69.7%) ordered a home HIV self-test kit. Most of the self-test kits were ordered by participants enrolled from dating apps. Due to waves with low enrollment, between wave statistical comparisons were not feasible. Within wave comparison showed that Jack’d showed higher order rates (3.29 kits/day), compared to Instagram (0.34 kits/day), and Bing (0 kits/day). There was no association between self-test kit ordering and HIV-related stigma, perceptions about HIV testing and treatment, or mistrust of medical organizations. CONCLUSIONS Our findings show that use of popular dating apps might be an efficient way to promote HIV self-testing. CLINICALTRIAL This study was reviewed and approved by the University of California, Los Angeles, Institutional Review Board (IRB# 18-001580). The study was registered on ClinicalTrials.gov (NCT04155502) and on International Registered Report Identifier (IRRID): DERR1-10.2196/20417. INTERNATIONAL REGISTERED REPORT RR2-10.2196/20417


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S559-S559
Author(s):  
Maria V Bandres ◽  
Daniel Mueller

Abstract Background In our urban, underserved patient population, Human Immunodeficiency Virus (HIV) is hyper-endemic, and HIV screening is frequently performed. Although HIV screening tests have high specificity, false positives can occur. Numerous reasons for false positive testing have been cited, including vaccinations, autoimmune diseases, and viral infections. In 2019, Philadelphia experienced a large Hepatitis A outbreak, during which time false positive HIV screening tests were discovered. Our aim was to further describe these patients who had been diagnosed with acute Hepatitis A infection and in whom false positive HIV testing had occurred. Methods We conducted a retrospective chart review of adult patients admitted to our hospital between January 2017 and December 2019 who had a positive Hepatitis A Virus (HAV) IgM. Demographics, HIV tests, viral hepatitis tests, and liver tests were recorded. False positive HIV was defined as a positive HIV screen (p24 antigen and HIV-1 and 2 antibody combo), followed by a negative differentiation assay for HIV-1 and 2 antibodies, combined with a negative HIV PCR. Results A total of 156 unique patients were found to have acute HAV, with 138 cases identified in 2019. Of these, 3 patients had confirmed false positive HIV testing, and 1 patient had suspected false positive HIV testing (HIV-2 differentiation assay indeterminate, with very low local prevalence of HIV-2), for a false positive test rate of 2.6% (4/156). Ages ranged from 36-47 years, 3 were male, and 2 were persons who injected drugs (PWID). Three patients had prior negative HIV testing. Two patients had fevers during admission, but none of the four were febrile at the time of HIV test collection. Three patients had elevated transaminases, and two had abnormal coagulation testing. Coinfection with Hepatitis C was found in three patients. One patient had follow-up HIV testing performed, which was negative. Conclusion To our knowledge, this is the first report of false positive HIV testing related to acute HAV. Prevalence of false positives was low, but awareness can facilitate patient counseling. With low sample size, conclusions cannot be drawn about risk factors related to false positive testing. Disclosures All Authors: No reported disclosures


2019 ◽  
Vol 71 (8) ◽  
pp. e308-e315
Author(s):  
McKaylee M Robertson ◽  
Sarah L Braunstein ◽  
Donald R Hoover ◽  
Sheng Li ◽  
Denis Nash

Abstract Background We estimated the time from human immunodeficiency virus (HIV) seroconversion to antiretroviral therapy (ART) initiation during an era of expanding HIV testing and treatment efforts. Methods Applying CD4 depletion parameters from seroconverter cohort data to our population-based sample, we related the square root of the first pretreatment CD4 count to time of seroconversion through a linear mixed model and estimated the time from seroconversion. Results Among 28 162 people diagnosed with HIV during 2006–2015, 89% initiated ART by June 2017. The median CD4 count at diagnosis increased from 326 (interquartile range [IQR], 132–504) cells/µL to 390 (IQR, 216–571) cells/µL from 2006 to 2015. The median time from estimated seroconversion to ART initiation decreased by 42% from 6.4 (IQR, 3.3–11.4) years in 2006 to 3.7 (IQR, 0.5–8.3) years in 2015. The time from estimated seroconversion to diagnosis decreased by 28%, from a median of 4.6 (IQR, 0.5–10.5) years to 3.3 (IQR, 0–8.1) years from 2006 to 2015, and the time from diagnosis to ART initiation reduced by 60%, from a median of 0.5 (IQR, 0.2–2.1) years to 0.2 (IQR, 0.1–0.3) years from 2006 to 2015. Conclusions The estimated time from seroconversion to ART initiation was reduced in tandem with expanded HIV testing and treatment efforts. While the time from diagnosis to ART initiation decreased to 0.2 years, the time from seroconversion to diagnosis was 3.3 years among people diagnosed in 2015, highlighting the need for more effective strategies for earlier HIV diagnosis.


1990 ◽  
Vol 10 (10) ◽  
pp. 22-25
Author(s):  
DW Unkle

Testing for the presence of the human immunodeficiency virus (HIV) remains one of the most controversial issues of this decade. Among persons diagnosed to be HIV positive, social ostracism and exaggerated atypical behavior are common. The resulting impact on the delivery of healthcare services to the seropositive patient has raised many ethical and professional dilemmas. Discussion of HIV testing and the subsequent effects of seropositivity on the delivery of healthcare will be emphasized.


Sign in / Sign up

Export Citation Format

Share Document